Xiaolan Xu, Sara Mendes, and Yu-Yin Hsu built a 495-sentence Chinese challenge set covering 45 occupations to measure gender bias in Chinese-to-Portuguese automated translation, testing two commercial…
A study by Manuel Lardelli, published in the Proceedings of the 4th Workshop on Gender-Inclusive Translation Technologies (GITT 2026), found that neural machine translation (NMT) systems default to bi…
Reasoning LLMs outperform standard inference at shifting Italian-to-German machine translation from binary to non-binary formulations, according to a paper by Paolo Di Natale, Laura Schlutter, Elena C…
A study by Chiara Manna, Argentina Anna Rescigno, and Eva Vanmassenhove compared the automated WinoMT annotation pipeline with the instruction-tuned LLM Qwen3-8B for annotating grammatical gender in E…